| Title: | An Integrated Exploration of Behavioral, Environmental, Social economic, Genetic, Microecological Predictors Associated with the Onset and Prognosis of Respiratory diseases and Multimorbidity |
| Lead Institution: | Peking University People's Hospital. |
| Principal investigator: |
Application 688295
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About
Respiratory diseases are leading causes of global morbidity and mortality, with complex pathogenesis involving genetic, environmental, behavioral, and socioeconomic factors. Respiratory diseases are intricately linked to multiple organ systems, including cardiovascular, digestive, neuropsychiatric, musculoskeletal, urogenital, immune, hematologic, and endocrine systems, et al. The development of respiratory diseases is multifactorial, influenced by genetic predispositions, environmental exposures, behavioral factors, socioeconomic status, and microbial imbalances. Large-scale cohorts like the UK Biank provide long-term data to study these interactions. Genomic studies (GWAS, QTL) identify genetic loci and candidate genes, while single-cell RNA-seq reveals cell-type-specific molecular mechanisms. Transcriptome-wide association studies (TWAS) and multimodal research elucidate gene expression regulation. Machine learning models enable risk factor screening, causal inference, and personalized risk prediction, offering tools for precision prevention and treatment. Research Questions Which behavioral, environmental, socioeconomic, genetic (multi-omics), and microecological factors predict respiratory disease onset and prognosis? How do these factors interact to influence disease progression and complications? How do respiratory diseases interact with other organ systems to drive multimorbidity? What modifiable and genetic determinants jointly influence respiratory diseases and comorbidities? Research Objectives: Identify predictive factors, Elucidate molecular mechanisms, Assess multimorbidity by exploring systemic associations, Infer causal relationships, Unravel genetic variants, Discover genetic correlations between respiratory diseases and comorbidities, Identify drug targets for repurposing, Develop predictive models. This study aims to unravel the complexity of respiratory diseases and their systemic interactions, advancing precision medicine.3 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 17578 | Association of Blood Eosinophil Counts with Expiratory Airflow Limitation: A Multi-Ethnicity Observational Study | Jianbo Xue (+11) | 2026 | Journal of Inflammation Research |
| 18040 | Influences of smoking behaviors on human immune signatures: large observational studies and Mendelian randomization analyses | Meng Zhou (+6) | 2026 | Nicotine & Tobacco Research |
| 17904 | Multidimensional Healthy Sleep Characteristics and Pneumonia Risk: A Large-scale, Population-based Prospective Cohort Study | Xufeng Fu (+5) | 2026 | Open Forum Infectious Diseases |
Enabling scientific discoveries that improve human health